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Tobias Eichenlaub
Tobias Eichenlaub
Computer science
Automotive engineering
Data-driven
Drivetrain
Battery (electricity)
5
Papers
10
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Real-Driving-Based Comparison of the Eco-Impact of Powertrain Concepts using a Data-Driven Optimization Environment
2020
Arved Eßer
Tobias Eichenlaub
Stephan Rinderknecht
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Development of an Optimization Framework for the Comparative Evaluation of the Ecoimpact of Powertrain Concepts
2019
Arved Eßer
J.-E. Schleiffer
Tobias Eichenlaub
Stephan Rinderknecht
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The Sensitivity in Consumption of Different Vehicle Drivetrain Concepts Under Varying Operating Conditions: A Simulative Data Driven Approach
2019
Philippe Jardin
Arved Esser
Stefano Givone
Tobias Eichenlaub
Jean-Eric Schleiffer
Stephan Rinderknecht
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Verbrauchs- und Emissionsbewertung von Fahrzeugantriebskonzepten für die Langstreckenmobilität der Zukunft : Abschlussbericht FahrKLang : Berichtszeitraum: 01.10.2017-30.09.2018
2018
Arved Eßer
J.-E. Schleiffer
Tobias Eichenlaub
Alexander Kuznik
M Seier
Steffi Weyand
Falko Nordenholz
Felix Steck
Lars Kröger
Liselotte Schebek
Christian Beidl
Stephan Rinderknecht
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Comparative Real-Driving Optimization of Drivetrain Concepts regarding the Ecological Impact - A Big Data Approach for the Fleet
2018
Stephan Rinderknecht
Arved Eßer
J.-E. Schleiffer
Tobias Eichenlaub
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